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PersoNet: Friend Recommendation System Based on Big-Five Personality Traits and Hybrid Filtering

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JAYAPRAKASH JPINFOTECH
JAYAPRAKASH JPINFOTECH

This document presents PersoNet, a friend recommendation system for social networks based on the big-five personality traits model and hybrid filtering. Most existing friend recommendation systems rely on homophily, which recommends friends similar to the user. However, personality is not necessarily compatible with those who have the same traits. PersoNet addresses this by recommending friends based on personality traits and user harmony ratings. An evaluation shows PersoNet has better precision and recall than collaborative filtering-based systems.

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PersoNet: Friend Recommendation System Based on Big- Five Personality Traits and Hybrid Filtering ABSTRACT: Friend recommendation system (FRS) is an essential part of any social network system. With the popularity of social network sites, many FRSs have been proposed in the past few years. However, most of them are homophily based systems, homophily is the propensity to associate and bond with similar others. In other words, these systems will recommend people that you share common features with them as friends. Homophily based FRS is accurate when the common feature is a physical or social feature, such as age, race, location, job, or lifestyle. However, it is not the case with personality types. Having a given personality type does not necessarily mean that you are compatible with people that have the same personality type. Therefore, in this paper, we present and evaluate an FRS based on the big-five personality traits model and hybrid filtering, in which the friend recommended process is based on personality traits and users’ harmony rating. To validate the proposed system’s accuracy, a personality-based social network site that uses the proposed FRS named PersoNet is implemented. Users’ rating results show that PersoNet performs better than collaborative filtering (CF)-based FRS in terms of precision and recall. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:  System : Pentium Dual Core.
 Hard Disk : 120 GB.  Monitor : 15’’ LED  Input Devices : Keyboard, Mouse  Ram : 1 GB SOFTWARE REQUIREMENTS:  Operating system : Windows 7.  Coding Language : JAVA.  Tool : Netbeans 7.2.1  Database : MYSQL REFERENCE: Huansheng Ning , Senior Member, IEEE, Sahraoui Dhelim , and Nyothiri Aung, “PersoNet: Friend Recommendation System Based on Big-Five Personality Traits and Hybrid Filtering”, IEEE Transactions on Computational Social Systems, Volume: 6 , Issue: 3 , June 2019.

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PersoNet: Friend Recommendation System Based on Big-Five Personality Traits and Hybrid Filtering

  • 1. PersoNet: Friend Recommendation System Based on Big- Five Personality Traits and Hybrid Filtering ABSTRACT: Friend recommendation system (FRS) is an essential part of any social network system. With the popularity of social network sites, many FRSs have been proposed in the past few years. However, most of them are homophily based systems, homophily is the propensity to associate and bond with similar others. In other words, these systems will recommend people that you share common features with them as friends. Homophily based FRS is accurate when the common feature is a physical or social feature, such as age, race, location, job, or lifestyle. However, it is not the case with personality types. Having a given personality type does not necessarily mean that you are compatible with people that have the same personality type. Therefore, in this paper, we present and evaluate an FRS based on the big-five personality traits model and hybrid filtering, in which the friend recommended process is based on personality traits and users’ harmony rating. To validate the proposed system’s accuracy, a personality-based social network site that uses the proposed FRS named PersoNet is implemented. Users’ rating results show that PersoNet performs better than collaborative filtering (CF)-based FRS in terms of precision and recall. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:  System : Pentium Dual Core.
  • 2.  Hard Disk : 120 GB.  Monitor : 15’’ LED  Input Devices : Keyboard, Mouse  Ram : 1 GB SOFTWARE REQUIREMENTS:  Operating system : Windows 7.  Coding Language : JAVA.  Tool : Netbeans 7.2.1  Database : MYSQL REFERENCE: Huansheng Ning , Senior Member, IEEE, Sahraoui Dhelim , and Nyothiri Aung, “PersoNet: Friend Recommendation System Based on Big-Five Personality Traits and Hybrid Filtering”, IEEE Transactions on Computational Social Systems, Volume: 6 , Issue: 3 , June 2019.